4.4 Article

A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome

期刊

GENOME BIOLOGY
卷 16, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13059-015-0582-8

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资金

  1. Office of Science of the US Department of Energy [DE-AC02-05CH11231]
  2. Triticeae Coordinated Agricultural Project, US Department of Agriculture/National Institute for Food and Agriculture [2011-68002-30029]
  3. Kansas Wheat Commission
  4. Kansas Wheat Alliance
  5. Bill and Melinda Gates Foundation
  6. US National Science Foundation
  7. USAID
  8. Scottish Government Rural and Environment Science and Analytical Services Division
  9. BBSRC grant [BB/I00663X/1]
  10. Bundesministerium fur Bildung und Forschung Plant program [TRITEX 0315954, NUGGET 0315957A]
  11. US DOE [DE-SC0008700]
  12. NHGRI Berkeley Training Grant in Genomics
  13. U.S. Department of Energy (DOE) [DE-SC0008700] Funding Source: U.S. Department of Energy (DOE)
  14. BBSRC [BB/I00663X/1] Funding Source: UKRI
  15. Biotechnology and Biological Sciences Research Council [BB/I00663X/1] Funding Source: researchfish
  16. Direct For Biological Sciences
  17. Division Of Integrative Organismal Systems [1339389] Funding Source: National Science Foundation
  18. Div Of Industrial Innovation & Partnersh
  19. Directorate For Engineering [1338897] Funding Source: National Science Foundation

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Polyploid species have long been thought to be recalcitrant to whole-genome assembly. By combining high-throughput sequencing, recent developments in parallel computing, and genetic mapping, we derive, de novo, a sequence assembly representing 9.1 Gbp of the highly repetitive 16 Gbp genome of hexaploid wheat, Triticum aestivum, and assign 7.1 Gb of this assembly to chromosomal locations. The genome representation and accuracy of our assembly is comparable or even exceeds that of a chromosome-by-chromosome shotgun assembly. Our assembly and mapping strategy uses only short read sequencing technology and is applicable to any species where it is possible to construct a mapping population.

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